Probing Layer-wise Memorization and Generalization in Deep Neural Networks via Model Stitching.

Piyush Rai

Aishwarya Gupta 0001 Indranil Saha 0001 Piyush Rai Probing Layer-wise Memorization and Generalization in Deep Neural Networks via Model Stitching. 2026 2026 Trans. Mach. Learn. Res. https://openreview.net/forum?id=wWye46fXo7 db/journals/tmlr/tmlr2026.html#GuptaSR26 streams/journals/tmlr

Shivam Pal Aishwarya Gupta 0001 Saqib Sarwar Piyush Rai Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=TzhCnGBK4F db/journals/tmlr/tmlr2025.html#PalGSR25 streams/journals/tmlr

Soumya Roy Soumya Banerjee Vinay Kumar Verma Soumik Dasgupta Deepak Gupta Piyush Rai NOVO: Unlearning-Compliant Vision Transformers. 2025 July abs/2507.03281 CoRR https://doi.org/10.48550/arXiv.2507.03281 db/journals/corr/corr2507.html#abs-2507-03281 streams/journals/corr

Shivam Pal Sakshi Varshney Piyush Rai Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space. 2025 November abs/2511.19525 CoRR https://doi.org/10.48550/arXiv.2511.19525 db/journals/corr/corr2511.html#abs-2511-19525 streams/journals/corr

Pratik Mazumder Pravendra Singh Piyush Rai Vinay P. Namboodiri Rectification-Based Knowledge Retention for Task Incremental Learning. 1561-1575 2024 March 46 IEEE Trans. Pattern Anal. Mach. Intell. 3 https://doi.org/10.1109/TPAMI.2022.3225310 db/journals/pami/pami46.html#MazumderSRN24

Gargi Singh Dhanajit Brahma Piyush Rai Ashutosh Modi Text-Based Fine-Grained Emotion Prediction. 405-416 2024 April - June 15 IEEE Trans. Affect. Comput. 2 https://doi.org/10.1109/TAFFC.2023.3298405 db/journals/taffco/taffco15.html#SinghBRM24

Avideep Mukherjee Soumya Banerjee Piyush Rai Vinay P. Namboodiri RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance. 2024 BMVC https://bmvc2024.org/proceedings/218/ conf/bmvc/2024 db/conf/bmvc/bmvc2024.html#MukherjeeBRN24 Soumya Banerjee Vinay Kumar Verma Avideep Mukherjee Deepak Gupta Vinay P. Namboodiri Piyush Rai VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. 493-500 2024 ICRA https://doi.org/10.1109/ICRA57147.2024.10610702 conf/icra/2024 db/conf/icra/icra2024.html#BanerjeeVMGNR24

Aishwarya Gupta 0001 Indranil Saha 0001 Piyush Rai Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverage. 2024 abs/2408.06766 CoRR https://doi.org/10.48550/arXiv.2408.06766 db/journals/corr/corr2408.html#abs-2408-06766 streams/journals/corr

Avideep Mukherjee Soumya Banerjee Vinay P. Namboodiri Piyush Rai RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance. 2024 abs/2408.17095 CoRR https://doi.org/10.48550/arXiv.2408.17095 db/journals/corr/corr2408.html#abs-2408-17095 streams/journals/corr

Shivam Pal Aishwarya Gupta 0001 Saqib Sarwar Piyush Rai Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization. 2024 abs/2411.18385 CoRR https://doi.org/10.48550/arXiv.2411.18385 db/journals/corr/corr2411.html#abs-2411-18385 streams/journals/corr

Malay Pandey Vaishali Jain Nimit Godhani Sachchida Nand Tripathi Piyush Rai Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture. 2024 abs/2412.13935 CoRR https://doi.org/10.48550/arXiv.2412.13935 db/journals/corr/corr2412.html#abs-2412-13935 streams/journals/corr

Shrey Bhatt Aishwarya Gupta 0001 Piyush Rai Federated Learning with Uncertainty via Distilled Predictive Distributions. 153-168 2023 ACML https://proceedings.mlr.press/v222/bhatt24a.html conf/acml/2023 db/conf/acml/acml2023.html#BhattGR23 Amit Chandak Purushottam Kar Piyush Rai Gradient Perturbation-based Efficient Deep Ensembles. 28-36 2023 COMAD/CODS https://doi.org/10.1145/3570991.3571063 conf/comad/2023 db/conf/comad/comad2023.html#ChandakKR23 Dhanajit Brahma Piyush Rai A Probabilistic Framework for Lifelong Test-Time Adaptation. 3582-3591 2023 CVPR https://doi.org/10.1109/CVPR52729.2023.00349 conf/cvpr/2023 db/conf/cvpr/cvpr2023.html#BrahmaR23

Soumya Banerjee Vinay Kumar Verma Avideep Mukherjee Deepak Gupta Vinay P. Namboodiri Piyush Rai VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. 2023 abs/2309.08227 CoRR https://doi.org/10.48550/arXiv.2309.08227 db/journals/corr/corr2309.html#abs-2309-08227

Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar 0001 DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents. 2022 2022 Trans. Mach. Learn. Res. https://openreview.net/forum?id=ygoNPRiLxw db/journals/tmlr/tmlr2022.html#PandeyMRK22

K. J. Joseph Sujoy Paul Gaurav Aggarwal Soma Biswas Piyush Rai Kai Han 0001 Vineeth N. Balasubramanian Spacing Loss for Discovering Novel Categories. 3760-3765 2022 CVPR Workshops https://doi.org/10.1109/CVPRW56347.2022.00420 conf/cvpr/2022w db/conf/cvpr/cvpr2022w.html#JosephPABR0B22 K. J. Joseph Sujoy Paul Gaurav Aggarwal Soma Biswas Piyush Rai Kai Han 0001 Vineeth N. Balasubramanian Novel Class Discovery Without Forgetting. 570-586 2022 ECCV (24) https://doi.org/10.1007/978-3-031-20053-3_33 conf/eccv/2022-24 db/conf/eccv/eccv2022-24.html#JosephPABRHB22

Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar 0001 DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents. 2022 abs/2201.00308 CoRR https://arxiv.org/abs/2201.00308 db/journals/corr/corr2201.html#abs-2201-00308

Ankur Singh Piyush Rai Semi-Supervised Super-Resolution. 2022 abs/2204.08192 CoRR https://doi.org/10.48550/arXiv.2204.08192 db/journals/corr/corr2204.html#abs-2204-08192

K. J. Joseph Sujoy Paul Gaurav Aggarwal Soma Biswas Piyush Rai Kai Han 0001 Vineeth N. Balasubramanian Spacing Loss for Discovering Novel Categories. 2022 abs/2204.10595 CoRR https://doi.org/10.48550/arXiv.2204.10595 db/journals/corr/corr2204.html#abs-2204-10595

Shrey Bhatt Aishwarya Gupta Piyush Rai Bayesian Federated Learning via Predictive Distribution Distillation. 2022 abs/2206.07562 CoRR https://doi.org/10.48550/arXiv.2206.07562 db/journals/corr/corr2206.html#abs-2206-07562

K. J. Joseph Sujoy Paul Gaurav Aggarwal Soma Biswas Piyush Rai Kai Han 0001 Vineeth N. Balasubramanian Novel Class Discovery without Forgetting. 2022 abs/2207.10659 CoRR https://doi.org/10.48550/arXiv.2207.10659 db/journals/corr/corr2207.html#abs-2207-10659

Dhanajit Brahma Piyush Rai A Probabilistic Framework for Lifelong Test-Time Adaptation. 2022 abs/2212.09713 CoRR https://doi.org/10.48550/arXiv.2212.09713 db/journals/corr/corr2212.html#abs-2212-09713

Pratik Mazumder Pravendra Singh Piyush Rai Few-Shot Lifelong Learning. 2337-2345 2021 AAAI https://doi.org/10.1609/aaai.v35i3.16334 conf/aaai/2021 db/conf/aaai/aaai2021.html#MazumderSR21 Yatin Dandi Homanga Bharadhwaj Abhishek Kumar 0001 Piyush Rai Generalized Adversarially Learned Inference. 7185-7192 2021 AAAI https://doi.org/10.1609/aaai.v35i8.16883 conf/aaai/2021 db/conf/aaai/aaai2021.html#DandiB0R21 Gargi Singh Dhanajit Brahma Piyush Rai Ashutosh Modi Fine-Grained Emotion Prediction by Modeling Emotion Definitions. 1-8 2021 ACII https://doi.org/10.1109/ACII52823.2021.9597436 conf/acii/2021 db/conf/acii/acii2021.html#SinghBRM21 Vinay Kumar Verma Kevin J. Liang Nikhil Mehta 0002 Piyush Rai Lawrence Carin Efficient Feature Transformations for Discriminative and Generative Continual Learning. 13865-13875 2021 CVPR https://openaccess.thecvf.com/content/CVPR2021/html/Verma_Efficient_Feature_Transformations_for_Discriminative_and_Generative_Continual_Learning_CVPR_2021_paper.html https://doi.org/10.1109/CVPR46437.2021.01365 conf/cvpr/2021 db/conf/cvpr/cvpr2021.html#VermaLMRC21 Pravendra Singh Pratik Mazumder Piyush Rai Vinay P. Namboodiri Rectification-Based Knowledge Retention for Continual Learning. 15282-15291 2021 CVPR https://openaccess.thecvf.com/content/CVPR2021/html/Singh_Rectification-Based_Knowledge_Retention_for_Continual_Learning_CVPR_2021_paper.html https://doi.org/10.1109/CVPR46437.2021.01503 conf/cvpr/2021 db/conf/cvpr/cvpr2021.html#SinghMRN21 Abhishek Kumar 0001 Sunabha Chatterjee Piyush Rai Bayesian Structural Adaptation for Continual Learning. 5850-5860 2021 ICML http://proceedings.mlr.press/v139/kumar21a.html conf/icml/2021 db/conf/icml/icml2021.html#0001CR21 Mohammed Asad Karim Vinay Kumar Verma Pravendra Singh Vinay P. Namboodiri Piyush Rai Knowledge Consolidation based Class Incremental Online Learning with Limited Data. 2621-2627 2021 IJCAI https://doi.org/10.24963/ijcai.2021/361 conf/ijcai/2021 db/conf/ijcai/ijcai2021.html#KarimVSNR21 Sakshi Varshney Vinay Kumar Verma P. K. Srijith Lawrence Carin Piyush Rai CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks. 15175-15187 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/8073bd4ed0fe0c330290c58056a2cd5e-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#VarshneyVSCR21 Vinay Kumar Verma Ashish Mishra 0001 Anubha Pandey Hema A. Murthy Piyush Rai Towards Zero-Shot Learning with Fewer Seen Class Examples. 2240-2250 2021 WACV https://doi.org/10.1109/WACV48630.2021.00229 conf/wacv/2021 db/conf/wacv/wacv2021.html#VermaMPMR21

Pratik Mazumder Pravendra Singh Piyush Rai Few-Shot Lifelong Learning. 2021 abs/2103.00991 CoRR https://arxiv.org/abs/2103.00991 db/journals/corr/corr2103.html#abs-2103-00991

Sakshi Varshney Vinay Kumar Verma Lawrence Carin Piyush Rai Efficient Continual Adaptation for Generative Adversarial Networks. 2021 abs/2103.04032 CoRR https://arxiv.org/abs/2103.04032 db/journals/corr/corr2103.html#abs-2103-04032

Vinay Kumar Verma Kevin J. Liang Nikhil Mehta 0002 Piyush Rai Lawrence Carin Efficient Feature Transformations for Discriminative and Generative Continual Learning. 2021 abs/2103.13558 CoRR https://arxiv.org/abs/2103.13558 db/journals/corr/corr2103.html#abs-2103-13558

Rahul Sharma Soumya Banerjee Dootika Vats Piyush Rai Variational Rejection Particle Filtering. 2021 abs/2103.15343 CoRR https://arxiv.org/abs/2103.15343 db/journals/corr/corr2103.html#abs-2103-15343

Pravendra Singh Pratik Mazumder Piyush Rai Vinay P. Namboodiri Rectification-based Knowledge Retention for Continual Learning. 2021 abs/2103.16597 CoRR https://arxiv.org/abs/2103.16597 db/journals/corr/corr2103.html#abs-2103-16597

Mohammed Asad Karim Vinay Kumar Verma Pravendra Singh Vinay P. Namboodiri Piyush Rai Knowledge Consolidation based Class Incremental Online Learning with Limited Data. 2021 abs/2106.06795 CoRR https://arxiv.org/abs/2106.06795 db/journals/corr/corr2106.html#abs-2106-06795

Gargi Singh Dhanajit Brahma Piyush Rai Ashutosh Modi Fine-Grained Emotion Prediction by Modeling Emotion Definitions. 2021 abs/2107.12135 CoRR https://arxiv.org/abs/2107.12135 db/journals/corr/corr2107.html#abs-2107-12135

Dhanajit Brahma Vinay Kumar Verma Piyush Rai Hypernetworks for Continual Semi-Supervised Learning. 2021 abs/2110.01856 CoRR https://arxiv.org/abs/2110.01856 db/journals/corr/corr2110.html#abs-2110-01856

Avinandan Bose Aniket Das Yatin Dandi Piyush Rai NeurInt : Learning to Interpolate through Neural ODEs. 2021 abs/2111.04123 CoRR https://arxiv.org/abs/2111.04123 db/journals/corr/corr2111.html#abs-2111-04123

Ansh Khurana Sujoy Paul Piyush Rai Soma Biswas Gaurav Aggarwal SITA: Single Image Test-time Adaptation. 2021 abs/2112.02355 CoRR https://arxiv.org/abs/2112.02355 db/journals/corr/corr2112.html#abs-2112-02355

Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. 2068-2088 2020 128 Int. J. Comput. Vis. 8 https://doi.org/10.1007/s11263-019-01264-3 db/journals/ijcv/ijcv128.html#SinghVRN20

Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning. 838-847 2020 14 IEEE J. Sel. Top. Signal Process. 4 https://doi.org/10.1109/JSTSP.2020.2992390 https://www.wikidata.org/entity/Q111520122 db/journals/jstsp/jstsp14.html#SinghVRN20

Arindam Sarkar 0001 Nikhil Mehta 0002 Piyush Rai Graph Representation Learning via Ladder Gamma Variational Autoencoders. 5604-5611 2020 AAAI https://doi.org/10.1609/aaai.v34i04.6013 conf/aaai/2020 db/conf/aaai/aaai2020.html#SarkarMR20 Vinay Kumar Verma Dhanajit Brahma Piyush Rai Meta-Learning for Generalized Zero-Shot Learning. 6062-6069 2020 AAAI https://doi.org/10.1609/aaai.v34i04.6069 conf/aaai/2020 db/conf/aaai/aaai2020.html#VermaBR20 Vivek Gupta 0001 Ankit Saw Pegah Nokhiz Praneeth Netrapalli Piyush Rai Partha P. Talukdar P-SIF: Document Embeddings Using Partition Averaging. 7863-7870 2020 AAAI https://doi.org/10.1609/aaai.v34i05.6292 conf/aaai/2020 db/conf/aaai/aaai2020.html#0001SNNRT20 Pawan Kumar Dhanajit Brahma Harish Karnick Piyush Rai Deep Attentive Ranking Networks for Learning to Order Sentences. 8115-8122 2020 AAAI https://doi.org/10.1609/aaai.v34i05.6323 conf/aaai/2020 db/conf/aaai/aaai2020.html#KumarBKR20 He Zhao 0001 Piyush Rai Lan Du 0002 Wray L. Buntine Dinh Phung 0001 Mingyuan Zhou Variational Autoencoders for Sparse and Overdispersed Discrete Data. 1684-1694 2020 AISTATS http://proceedings.mlr.press/v108/zhao20c.html conf/aistats/2020 db/conf/aistats/aistats2020.html#ZhaoR0BPZ20 Pravendra Singh Vinay Kumar Verma Pratik Mazumder Lawrence Carin Piyush Rai Calibrating CNNs for Lifelong Learning. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/b3b43aeeacb258365cc69cdaf42a68af-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#SinghVMCR20 Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri Leveraging Filter Correlations for Deep Model Compression. 824-833 2020 WACV https://doi.org/10.1109/WACV45572.2020.9093331 conf/wacv/2020 db/conf/wacv/wacv2020.html#SinghVRN20 Vinay Kumar Verma Pravendra Singh Vinay P. Namboodiri Piyush Rai A "Network Pruning Network" Approach to Deep Model Compression. 2998-3007 2020 WACV https://doi.org/10.1109/WACV45572.2020.9093391 conf/wacv/2020 db/conf/wacv/wacv2020.html#VermaSNR20 Yatin Dandi Aniket Das Soumye Singhal Vinay P. Namboodiri Piyush Rai Jointly Trained Image and Video Generation using Residual Vectors. 3017-3031 2020 WACV https://doi.org/10.1109/WACV45572.2020.9093308 conf/wacv/2020 db/conf/wacv/wacv2020.html#DandiDSNR20 Varun Khare Divyat Mahajan Homanga Bharadhwaj Vinay Kumar Verma Piyush Rai A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. 3090-3099 2020 WACV https://doi.org/10.1109/WACV45572.2020.9093348 conf/wacv/2020 db/conf/wacv/wacv2020.html#KhareMBVR20

Pawan Kumar Dhanajit Brahma Harish Karnick Piyush Rai Deep Attentive Ranking Networks for Learning to Order Sentences. 2020 abs/2001.00056 CoRR http://arxiv.org/abs/2001.00056 db/journals/corr/corr2001.html#abs-2001-00056

Vinay Kumar Verma Pravendra Singh Vinay P. Namboodiri Piyush Rai A "Network Pruning Network" Approach to Deep Model Compression. 2020 abs/2001.05545 CoRR https://arxiv.org/abs/2001.05545 db/journals/corr/corr2001.html#abs-2001-05545

Saiteja Utpala Piyush Rai Quantile Regularization: Towards Implicit Calibration of Regression Models. 2020 abs/2002.12860 CoRR https://arxiv.org/abs/2002.12860 db/journals/corr/corr2002.html#abs-2002-12860

Vivek Gupta 0001 Ankit Saw Pegah Nokhiz Praneeth Netrapalli Piyush Rai Partha P. Talukdar P-SIF: Document Embeddings Using Partition Averaging. 2020 abs/2005.09069 CoRR https://arxiv.org/abs/2005.09069 db/journals/corr/corr2005.html#abs-2005-09069

Yatin Dandi Homanga Bharadhwaj Abhishek Kumar 0001 Piyush Rai Generalized Adversarially Learned Inference. 2020 abs/2006.08089 CoRR https://arxiv.org/abs/2006.08089 db/journals/corr/corr2006.html#abs-2006-08089

Vinay Kumar Verma Ashish Mishra 0001 Anubha Pandey Hema A. Murthy Piyush Rai Towards Zero-Shot Learning with Fewer Seen Class Examples. 2020 abs/2011.07279 CoRR https://arxiv.org/abs/2011.07279 db/journals/corr/corr2011.html#abs-2011-07279

Archit Sharma Siddhartha Saxena Piyush Rai A flexible probabilistic framework for large-margin mixture of experts. 1369-1393 2019 108 Mach. Learn. 8-9 https://doi.org/10.1007/s10994-019-05811-4 https://www.wikidata.org/entity/Q127744079 db/journals/ml/ml108.html#SharmaSR19

Vivek Gupta 0001 Rahul Wadbude Nagarajan Natarajan Harish Karnick Prateek Jain 0002 Piyush Rai Distributional Semantics Meets Multi-Label Learning. 3747-3754 2019 AAAI https://doi.org/10.1609/aaai.v33i01.33013747 https://www.wikidata.org/entity/Q124927660 conf/aaai/2019 db/conf/aaai/aaai2019.html#0001WNK0R19 Shikhar Vashishth Manik Bhandari Prateek Yadav Piyush Rai Chiranjib Bhattacharyya Partha P. Talukdar Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks. 3308-3318 2019 ACL (1) https://doi.org/10.18653/v1/p19-1320 https://aclanthology.org/P19-1320/ conf/acl/2019-1 db/conf/acl/acl2019-1.html#VashishthBYRBT19 Rajat Panda Ankit Pensia Nikhil Mehta 0002 Mingyuan Zhou Piyush Rai Deep Topic Models for Multi-label Learning. 2849-2857 2019 AISTATS http://proceedings.mlr.press/v89/panda19a.html conf/aistats/2019 db/conf/aistats/aistats2019.html#PandaPMZR19 Vinay Kumar Verma Aakansha Mishra Ashish Mishra 0001 Piyush Rai Generative Model for Zero-Shot Sketch-Based Image Retrieval. 704-713 2019 CVPR Workshops http://openaccess.thecvf.com/content_CVPRW_2019/html/CEFRL/Verma_Generative_Model_for_Zero-Shot_Sketch-Based_Image_Retrieval_CVPRW_2019_paper.html https://doi.org/10.1109/CVPRW.2019.00097 conf/cvpr/2019w db/conf/cvpr/cvprw2019.html#VermaMMR19 Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. 4835-4844 2019 CVPR http://openaccess.thecvf.com/content_CVPR_2019/html/Singh_HetConv_Heterogeneous_Kernel-Based_Convolutions_for_Deep_CNNs_CVPR_2019_paper.html https://doi.org/10.1109/CVPR.2019.00497 conf/cvpr/2019 db/conf/cvpr/cvpr2019.html#SinghVRN19 Nikhil Mehta 0002 Lawrence Carin Piyush Rai Stochastic Blockmodels meet Graph Neural Networks. 4466-4474 2019 ICML http://proceedings.mlr.press/v97/mehta19a.html conf/icml/2019 db/conf/icml/icml2019.html#MehtaCR19 Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri Play and Prune: Adaptive Filter Pruning for Deep Model Compression. 2019 IJCAI https://doi.org/10.24963/ijcai.2019/480 conf/ijcai/2019 db/conf/ijcai/ijcai2019.html#SinghVRN19 3460-3466

Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. 2019 abs/1903.04120 CoRR http://arxiv.org/abs/1903.04120 db/journals/corr/corr1903.html#abs-1903-04120

Vinay Kumar Verma Aakansha Mishra Ashish Mishra 0001 Piyush Rai Generative Model for Zero-Shot Sketch-Based Image Retrieval. 2019 abs/1904.08542 CoRR http://arxiv.org/abs/1904.08542 db/journals/corr/corr1904.html#abs-1904-08542

He Zhao 0001 Piyush Rai Lan Du 0002 Wray L. Buntine Mingyuan Zhou Variational Autoencoders for Sparse and Overdispersed Discrete Data. 2019 abs/1905.00616 CoRR http://arxiv.org/abs/1905.00616 db/journals/corr/corr1905.html#abs-1905-00616

Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri Play and Prune: Adaptive Filter Pruning for Deep Model Compression. 2019 abs/1905.04446 CoRR http://arxiv.org/abs/1905.04446 db/journals/corr/corr1905.html#abs-1905-04446

Nikhil Mehta 0002 Lawrence Carin Piyush Rai Stochastic Blockmodels meet Graph Neural Networks. 2019 abs/1905.05738 CoRR http://arxiv.org/abs/1905.05738 db/journals/corr/corr1905.html#abs-1905-05738

Varun Khare Divyat Mahajan Homanga Bharadhwaj Vinay Kumar Verma Piyush Rai A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. 2019 abs/1906.03038 CoRR http://arxiv.org/abs/1906.03038 db/journals/corr/corr1906.html#abs-1906-03038

Vinay Kumar Verma Dhanajit Brahma Piyush Rai A Meta-Learning Framework for Generalized Zero-Shot Learning. 2019 abs/1909.04344 CoRR http://arxiv.org/abs/1909.04344 db/journals/corr/corr1909.html#abs-1909-04344

Rahul Sharma Abhishek Kumar 0001 Piyush Rai Refined α-Divergence Variational Inference via Rejection Sampling. 2019 abs/1909.07627 CoRR http://arxiv.org/abs/1909.07627 db/journals/corr/corr1909.html#abs-1909-07627

Abhishek Kumar 0001 Sunabha Chatterjee Piyush Rai Nonparametric Bayesian Structure Adaptation for Continual Learning. 2019 abs/1912.03624 CoRR http://arxiv.org/abs/1912.03624 db/journals/corr/corr1912.html#abs-1912-03624

Karthikeyan K Shubham Kumar Bharti Piyush Rai On the relationship between multitask neural networks and multitask Gaussian Processes. 2019 abs/1912.05723 CoRR http://arxiv.org/abs/1912.05723 db/journals/corr/corr1912.html#abs-1912-05723

Yatin Dandi Aniket Das Soumye Singhal Vinay P. Namboodiri Piyush Rai Jointly Trained Image and Video Generation using Residual Vectors. 2019 abs/1912.07991 CoRR http://arxiv.org/abs/1912.07991 db/journals/corr/corr1912.html#abs-1912-07991

Wenlin Wang Yunchen Pu Vinay Kumar Verma Kai Fan 0002 Yizhe Zhang 0002 Changyou Chen Piyush Rai Lawrence Carin Zero-Shot Learning via Class-Conditioned Deep Generative Models. 2018 AAAI https://doi.org/10.1609/aaai.v32i1.11600 conf/aaai/2018 db/conf/aaai/aaai2018.html#WangPVFZCRC18 4211-4218 Ankush Gupta Arvind Agarwal Prawaan Singh Piyush Rai A Deep Generative Framework for Paraphrase Generation. 2018 AAAI https://doi.org/10.1609/aaai.v32i1.11956 conf/aaai/2018 db/conf/aaai/aaai2018.html#GuptaASR18 5149-5156 He Zhao 0001 Piyush Rai Lan Du 0002 Wray L. Buntine Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. 1943-1951 2018 AISTATS http://proceedings.mlr.press/v84/zhao18b.html conf/aistats/2018 db/conf/aistats/aistats2018.html#ZhaoRDB18 Vinay Kumar Verma Gundeep Arora Ashish Mishra 0001 Piyush Rai Generalized Zero-Shot Learning via Synthesized Examples. 4281-4289 2018 CVPR http://openaccess.thecvf.com/content_cvpr_2018/html/Verma_Generalized_Zero-Shot_Learning_CVPR_2018_paper.html https://doi.org/10.1109/CVPR.2018.00450 conf/cvpr/2018 db/conf/cvpr/cvpr2018.html#VermaAMR18 Gundeep Arora Anupreet Porwal Kanupriya Agarwal Avani Samdariya Piyush Rai Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels. 2000-2006 2018 IJCAI https://doi.org/10.24963/ijcai.2018/276 conf/ijcai/2018 db/conf/ijcai/ijcai2018.html#AroraPASR18 Ashish Mishra 0001 Vinay Kumar Verma M. Shiva Krishna Reddy Arulkumar Subramaniam Piyush Rai Anurag Mittal A Generative Approach to Zero-Shot and Few-Shot Action Recognition. 372-380 2018 WACV https://doi.org/10.1109/WACV.2018.00047 https://doi.ieeecomputersociety.org/10.1109/WACV.2018.00047 conf/wacv/2018 db/conf/wacv/wacv2018.html#MishraVRSRM18

Ashish Mishra 0001 Vinay Kumar Verma M. Shiva Krishna Reddy Arulkumar Subramaniam Piyush Rai Anurag Mittal A Generative Approach to Zero-Shot and Few-Shot Action Recognition. 2018 abs/1801.09086 CoRR http://arxiv.org/abs/1801.09086 db/journals/corr/corr1801.html#abs-1801-09086

Gundeep Arora Anupreet Porwal Kanupriya Agarwal Avani Samdariya Piyush Rai Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels. 2018 abs/1807.03570 CoRR http://arxiv.org/abs/1807.03570 db/journals/corr/corr1807.html#abs-1807-03570

Shikhar Vashishth Prateek Yadav Manik Bhandari Piyush Rai Chiranjib Bhattacharyya Partha P. Talukdar Graph Convolutional Networks based Word Embeddings. 2018 abs/1809.04283 CoRR http://arxiv.org/abs/1809.04283 db/journals/corr/corr1809.html#abs-1809-04283

Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri Leveraging Filter Correlations for Deep Model Compression. 2018 abs/1811.10559 CoRR http://arxiv.org/abs/1811.10559 db/journals/corr/corr1811.html#abs-1811-10559

Piyush Rai Non-Negative Inductive Matrix Completion for Discrete Dyadic Data. 2499-2505 2017 AAAI https://doi.org/10.1609/aaai.v31i1.10925 conf/aaai/2017 db/conf/aaai/aaai2017.html#Rai17 Changwei Hu Piyush Rai Lawrence Carin Deep Generative Models for Relational Data with Side Information. 1578-1586 2017 ICML http://proceedings.mlr.press/v70/hu17d.html conf/icml/2017 db/conf/icml/icml2017.html#HuRC17 Vikas Jain Nirbhay Modhe Piyush Rai Scalable Generative Models for Multi-label Learning with Missing Labels. 1636-1644 2017 ICML http://proceedings.mlr.press/v70/jain17a.html conf/icml/2017 db/conf/icml/icml2017.html#JainMR17 Vinay Kumar Verma Piyush Rai A Simple Exponential Family Framework for Zero-Shot Learning. 792-808 2017 ECML/PKDD (2) https://doi.org/10.1007/978-3-319-71246-8_48 conf/pkdd/2017-2 db/conf/pkdd/pkdd2017-2.html#VermaR17 Abhilash Gaure Aishwarya Gupta 0001 Vinay Kumar Verma Piyush Rai A Probabilistic Framework for Multi-Label Learning with Unseen Labels. 2017 UAI http://auai.org/uai2017/proceedings/papers/278.pdf conf/uai/2017 db/conf/uai/uai2017.html#GaureR17

Vinay Kumar Verma Piyush Rai A Simple Exponential Family Framework for Zero-Shot Learning. 2017 abs/1707.08040 CoRR http://arxiv.org/abs/1707.08040 db/journals/corr/corr1707.html#VermaR17

Ankush Gupta Arvind Agarwal Prawaan Singh Piyush Rai A Deep Generative Framework for Paraphrase Generation. 2017 abs/1709.05074 CoRR http://arxiv.org/abs/1709.05074 db/journals/corr/corr1709.html#abs-1709-05074

Rahul Wadbude Vivek Gupta 0001 Piyush Rai Nagarajan Natarajan Harish Karnick Leveraging Distributional Semantics for Multi-Label Learning. 2017 abs/1709.05976 CoRR http://arxiv.org/abs/1709.05976 db/journals/corr/corr1709.html#abs-1709-05976

Gundeep Arora Vinay Kumar Verma Ashish Mishra 0001 Piyush Rai Generalized Zero-Shot Learning via Synthesized Examples. 2017 abs/1712.03878 CoRR http://arxiv.org/abs/1712.03878 db/journals/corr/corr1712.html#abs-1712-03878

Changwei Hu Piyush Rai Lawrence Carin Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information. 1124-1132 2016 AISTATS http://proceedings.mlr.press/v51/hu16c.html conf/aistats/2016 db/conf/aistats/aistats2016.html#HuRC16 Changwei Hu Piyush Rai Lawrence Carin Topic-Based Embeddings for Learning from Large Knowledge Graphs. 1133-1141 2016 AISTATS http://proceedings.mlr.press/v51/hu16d.html conf/aistats/2016 db/conf/aistats/aistats2016.html#HuRC16a Saurav Muralidharan Amit Roy Mary W. Hall Michael Garland Piyush Rai Architecture-Adaptive Code Variant Tuning. 325-338 2016 ASPLOS https://doi.org/10.1145/2872362.2872411 https://doi.org/10.1145/2954679.2872411 https://doi.org/10.1145/2980024.2872411 conf/asplos/2016 db/conf/asplos/asplos2016.html#MuralidharanRHG16 Wenlin Wang Changyou Chen Wenlin Chen Piyush Rai Lawrence Carin Deep Metric Learning with Data Summarization. 777-794 2016 ECML/PKDD (1) https://doi.org/10.1007/978-3-319-46128-1_49 conf/pkdd/2016-1 db/conf/pkdd/pkdd2016-1.html#WangCCRC16

Wenlin Wang Changyou Chen Wenqi Wang 0001 Piyush Rai Lawrence Carin Earliness-Aware Deep Convolutional Networks for Early Time Series Classification. 2016 abs/1611.04578 CoRR http://arxiv.org/abs/1611.04578 db/journals/corr/corr1611.html#WangCWRC16

Wenzhao Lian Piyush Rai Esther Salazar Lawrence Carin Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data. 2757-2763 2015 AAAI https://doi.org/10.1609/aaai.v29i1.9549 conf/aaai/2015 db/conf/aaai/aaai2015.html#LianRSC15 Piyush Rai Yingjian Wang 0004 Lawrence Carin Leveraging Features and Networks for Probabilistic Tensor Decomposition. 2942-2948 2015 AAAI https://doi.org/10.1609/aaai.v29i1.9582 conf/aaai/2015 db/conf/aaai/aaai2015.html#RaiWC15 Yi Zhen Piyush Rai Hongyuan Zha Lawrence Carin Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision. 3203-3209 2015 AAAI https://doi.org/10.1609/aaai.v29i1.9599 conf/aaai/2015 db/conf/aaai/aaai2015.html#ZhenRZC15 Piyush Rai Changwei Hu Matthew Harding Lawrence Carin Scalable Probabilistic Tensor Factorization for Binary and Count Data. 3770-3776 2015 IJCAI http://ijcai.org/Abstract/15/530 conf/ijcai/2015 db/conf/ijcai/ijcai2015.html#RaiHHC15 Piyush Rai Changwei Hu Ricardo Henao Lawrence Carin Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings. 3222-3230 2015 NIPS https://proceedings.neurips.cc/paper/2015/hash/7ffd85d93a3e4de5c490d304ccd9f864-Abstract.html http://papers.nips.cc/paper/5770-large-scale-bayesian-multi-label-learning-via-topic-based-label-embeddings conf/nips/2015 db/conf/nips/nips2015.html#RaiHHC15 Changwei Hu Piyush Rai Changyou Chen Matthew Harding Lawrence Carin Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data. 53-70 2015 ECML/PKDD (2) https://doi.org/10.1007/978-3-319-23525-7_4 conf/pkdd/2015-2 db/conf/pkdd/pkdd2015-2.html#HuRCHC15 Changwei Hu Piyush Rai Lawrence Carin Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. 375-384 2015 UAI conf/uai/2015 db/conf/uai/uai2015.html#HuRC15 http://auai.org/uai2015/proceedings/papers/319.pdf

Changwei Hu Piyush Rai Lawrence Carin Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. 2015 abs/1508.04210 CoRR http://arxiv.org/abs/1508.04210 db/journals/corr/corr1508.html#HuRC15

Changwei Hu Piyush Rai Changyou Chen Matthew Harding Lawrence Carin Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data. 2015 abs/1508.04211 CoRR http://arxiv.org/abs/1508.04211 db/journals/corr/corr1508.html#HuRCHC15

Piyush Rai Yingjian Wang 0004 Shengbo Guo Gary Chen David B. Dunson Lawrence Carin Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors. 1800-1808 2014 ICML http://proceedings.mlr.press/v32/rai14.html conf/icml/2014 db/conf/icml/icml2014.html#RaiWGCDC14 Piyush Rai Learning Latent Structures Via Bayesian Nonparametrics: New Models and Efficient Interference. University of Utah, USA 2013 Joyce Jiyoung Whang Piyush Rai Inderjit S. Dhillon Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing. 817-826 2013 ICDM https://doi.org/10.1109/ICDM.2013.156 https://doi.ieeecomputersociety.org/10.1109/ICDM.2013.156 conf/icdm/2013 db/conf/icdm/icdm2013.html#WhangRD13

Anusua Trivedi Piyush Rai Hal Daumé III Scott L. DuVall Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering. 67:1-67:18 2012 3 ACM Trans. Intell. Syst. Technol. 4 https://doi.org/10.1145/2337542.2337552 https://www.wikidata.org/entity/Q125859666 db/journals/tist/tist3.html#TrivediRDD12

Alexandre Passos Piyush Rai Jacques Wainer Hal Daumé III Flexible Modeling of Latent Task Structures in Multitask Learning. 2012 ICML http://icml.cc/2012/papers/573.pdf conf/icml/2012 db/conf/icml/icml2012.html#PassosRWD12 Piyush Rai Abhishek Kumar 0001 Hal Daumé III Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression. 3194-3202 2012 NIPS https://proceedings.neurips.cc/paper/2012/hash/4dcae38ee11d3a6606cc6cd636a3628b-Abstract.html http://papers.nips.cc/paper/4501-simultaneously-leveraging-output-and-task-structures-for-multiple-output-regression conf/nips/2012 db/conf/nips/nips2012.html#RaiKD12 Piyush Rai Hal Daumé III Beam Search based MAP Estimates for the Indian Buffet Process. 705-712 2011 ICML conf/icml/2011 https://icml.cc/2011/papers/401_icmlpaper.pdf db/conf/icml/icml2011.html#RaiD11 Niraj Kumar 0001 Piyush Rai Chandrika Pulla C. V. Jawahar Video Scene Segmentation with a Semantic Similarity. 970-981 2011 IICAI conf/iicai/2011 db/conf/iicai/iicai2011.html#KumarRPJ11 Junxing Zhang Sneha Kumar Kasera Neal Patwari Piyush Rai Distinguishing locations across perimeters using wireless link measurements. 3155-3163 2011 INFOCOM https://doi.org/10.1109/INFCOM.2011.5935162 conf/infocom/2011 db/conf/infocom/infocom2011.html#ZhangKPR11 Jiarong Jiang Piyush Rai Hal Daumé III Message-Passing for Approximate MAP Inference with Latent Variables. 1197-1205 2011 NIPS https://proceedings.neurips.cc/paper/2011/hash/53e3a7161e428b65688f14b84d61c610-Abstract.html http://papers.nips.cc/paper/4285-message-passing-for-approximate-map-inference-with-latent-variables conf/nips/2011 db/conf/nips/nips2011.html#JiangRD11 Abhishek Kumar 0001 Piyush Rai Hal Daumé III Co-regularized Multi-view Spectral Clustering. 1413-1421 2011 NIPS https://proceedings.neurips.cc/paper/2011/hash/31839b036f63806cba3f47b93af8ccb5-Abstract.html http://papers.nips.cc/paper/4360-co-regularized-multi-view-spectral-clustering conf/nips/2011 db/conf/nips/nips2011.html#KumarRD11 Avishek Saha Piyush Rai Hal Daumé III Suresh Venkatasubramanian Scott L. DuVall Active Supervised Domain Adaptation. 97-112 2011 ECML/PKDD (3) https://doi.org/10.1007/978-3-642-23808-6_7 conf/pkdd/2011-3 db/conf/pkdd/pkdd2011-3.html#SahaRDVD11 Avishek Saha Piyush Rai Hal Daumé III Suresh Venkatasubramanian Online Learning of Multiple Tasks and Their Relationships. 643-651 AISTATS 2011 conf/aistats/2011 http://proceedings.mlr.press/v15/saha11b/saha11b.pdf db/journals/jmlr/jmlrp15.html#SahaRDV11 Anusua Trivedi Piyush Rai Scott L. DuVall Hal Daumé III Exploiting tag and word correlations for improved webpage clustering. 3-12 2010 SMUC@CIKM https://doi.org/10.1145/1871985.1871989 conf/cikm/2010smuc db/conf/cikm/smuc2010.html#TrivediRDD10 Piyush Rai Hal Daumé III Infinite Predictor Subspace Models for Multitask Learning. 613-620 AISTATS 2010 conf/aistats/2010 http://proceedings.mlr.press/v9/rai10a.html db/journals/jmlr/jmlrp9.html#RaiD10 Piyush Rai Hal Daumé III Suresh Venkatasubramanian Streamed Learning: One-Pass SVMs. 1211-1216 2009 IJCAI http://ijcai.org/Proceedings/09/Papers/204.pdf conf/ijcai/2009 db/conf/ijcai/ijcai2009.html#RaiDV09 Piyush Rai Hal Daumé III Multi-Label Prediction via Sparse Infinite CCA. 1518-1526 2009 NIPS https://proceedings.neurips.cc/paper/2009/hash/09c6c3783b4a70054da74f2538ed47c6-Abstract.html http://papers.nips.cc/paper/3673-multi-label-prediction-via-sparse-infinite-cca conf/nips/2009 db/conf/nips/nips2009.html#RaiD09

Piyush Rai Hal Daumé III The Infinite Hierarchical Factor Regression Model http://arxiv.org/abs/0908.0570 2009 CoRR abs/0908.0570 db/journals/corr/corr0908.html#abs-0908-0570

Piyush Rai Hal Daumé III Suresh Venkatasubramanian Streamed Learning: One-Pass SVMs http://arxiv.org/abs/0908.0572 2009 CoRR abs/0908.0572 db/journals/corr/corr0908.html#abs-0908-0572

Piyush Rai Hal Daumé III The Infinite Hierarchical Factor Regression Model. 1321-1328 2008 NIPS https://proceedings.neurips.cc/paper/2008/hash/2bf283c05b601f21364d052ca0ec798d-Abstract.html http://papers.nips.cc/paper/3627-the-infinite-hierarchical-factor-regression-model conf/nips/2008 db/conf/nips/nips2008.html#RaiD08 Arvind Agarwal Kanupriya Agarwal Gaurav Aggarwal Gundeep Arora Vineeth N. Balasubramanian Soumya Banerjee Manik Bhandari Homanga Bharadhwaj Shubham Kumar Bharti Shrey Bhatt Chiranjib Bhattacharyya Soma Biswas Avinandan Bose Dhanajit Brahma Wray L. Buntine Lawrence Carin Amit Chandak Sunabha Chatterjee Changyou Chen Gary Chen Wenlin Chen Yatin Dandi Aniket Das Soumik Dasgupta Hal Daumé III Inderjit S. Dhillon Lan Du 0002 David B. Dunson Scott L. DuVall Kai Fan 0002 Michael Garland Abhilash Gaure Nimit Godhani Shengbo Guo Aishwarya Gupta Aishwarya Gupta 0001 Ankush Gupta Deepak Gupta Vivek Gupta 0001 Mary W. Hall Kai Han 0001 Matthew Harding Ricardo Henao Changwei Hu Prateek Jain 0002 Vaishali Jain Vikas Jain C. V. Jawahar Jiarong Jiang K. J. Joseph Karthikeyan K Purushottam Kar Mohammed Asad Karim Harish Karnick Sneha Kumar Kasera Varun Khare Ansh Khurana Abhishek Kumar 0001 Niraj Kumar 0001 Pawan Kumar Wenzhao Lian Kevin J. Liang Divyat Mahajan Shiva Krishna Reddy MalayM. Shiva Krishna Reddy Pratik Mazumder Nikhil Mehta 0002 Aakansha Mishra Ashish Mishra 0001 Anurag Mittal Nirbhay Modhe Ashutosh Modi Avideep Mukherjee Saurav Muralidharan Hema A. Murthy Vinay P. Namboodiri Nagarajan Natarajan Praneeth Netrapalli Pegah Nokhiz Shivam Pal Rajat Panda Anubha Pandey Kushagra Pandey Malay Pandey Alexandre Tachard PassosAlexandre Passos Neal Patwari Sujoy Paul Ankit Pensia Dinh Q. PhungDinh Phung 0001 Anupreet Porwal Yunchen Pu Chandrika Pulla Amit Roy Soumya Roy Avishek Saha Indranil Saha 0001 Esther Salazar Avani Samdariya Arindam Sarkar 0001 Saqib Sarwar Ankit Saw Siddhartha Saxena Archit Sharma Rahul Sharma Ankur Singh Gargi Singh Pravendra Singh Prawaan Singh Soumye Singhal P. K. Srijith Arulkumar Subramaniam Partha P. Talukdar Sachchida N. TripathiSachchida Nand Tripathi Anusua Trivedi Saiteja Utpala Sakshi Varshney Shikhar Vashishth Dootika Vats Suresh Venkatasubramanian Vinay Kumar Verma Rahul Wadbude Jacques Wainer Wenlin Wang Wenqi Wang 0001 Yingjian Wang 0004 Joyce Jiyoung Whang Prateek Yadav Hongyuan Zha Junxing Zhang Yizhe Zhang 0002 He Zhao 0001 Yi Zhen Mingyuan Zhou